Remote GPU Kernel Auditor for AI Tasks

Jobgether; Ireland; On-site; EUR 83,000 - 119,000; Part time

Benefits offered by this job

Competitive freelance compensation

Fully remote from India

Flexible freelance engagement

High-impact technical work

Specialized focus

Contractor flexibility

No employer-sponsored benefits

Equipment responsibility

Job summary

Jobgether is seeking an experienced GPU kernel specialist for a remote freelance role to audit GPU kernel tasks used in AI training and evaluation. You will assess accuracy, realism, solvability, reproducibility, and testing criteria.

Responsibilities include testing for memory issues, bottlenecks, and parallel logic errors; reviewing CUDA, Triton and other kernel implementations; providing actionable feedback; and applying hardware-level optimization knowledge to assess quality and relevance of

Qualifications

• Demonstrable professional experience and deep technical knowledge in GPU kernel development and optimization.
• Strong expertise in CUDA or Triton programming, parallel computing, and hardware-level GPU performance optimization.
• Strong analytical and problem-solving skills, with the ability to rigorously evaluate and troubleshoot complex technical scenarios.
• Ability to identify subtle correctness, performance, memory management, and parallel execution issues.
• Strong understanding of practical GPU development workflows and the ability to assess whether technical tasks can be reliably reproduced.
• Clear written communication skills, with the ability to turn technical findings into concise and actionable feedback.

Responsibilities

• Evaluate GPU kernel tasks to determine whether they are technically accurate, realistic, solvable, reproducible, and supported by reliable tests and evaluation criteria.
• Rigorously test and troubleshoot complex GPU programming scenarios to validate task behavior and identify potential technical weaknesses.
• Audit tasks for memory allocation bugs, execution bottlenecks, synchronization issues, and parallel computing logic errors.
• Review CUDA, Triton, and other GPU kernel implementations for correctness, performance considerations, and practical applicability.
• Provide clear, specific, and actionable technical feedback on identified issues and recommend improvements where appropriate.
• Apply deep knowledge of GPU computing and hardware-level optimization to assess the quality and relevance of AI training and evaluation tasks.
• Work independently within an assigned area of specialization while maintaining a high standard of technical accuracy and consistency.

Skills

GPU kernel development

CUDA programming

Triton programming

Parallel computing

Memory management

Performance optimization

Troubleshooting

Technical feedback

Tools

CUDA

Triton

Job description

Jobgether is seeking an experienced GPU kernel specialist for a remote freelance role to audit GPU kernel tasks used in AI training and evaluation. You will assess accuracy, realism, solvability, reproducibility, and testing criteria.

Responsibilities include testing for memory issues, bottlenecks, and parallel logic errors; reviewing CUDA, Triton and other kernel implementations; providing actionable feedback; and applying hardware-level optimization knowledge to assess quality and relevance of